data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Optimizes high-volume workloads by leveraging Anthropic's Message Batches API for 50% cost savings on non-time-sensitive tasks.
Verifies causal narratives between natural gas price surges and fertilizer market disruptions using automated statistical analysis.
Implements robust document attribution and Retrieval-Augmented Generation (RAG) patterns for verifiable AI responses.
Integrates local Large Language Models with Home Assistant and Ollama for private, high-performance smart home automation.
Aggregates K18 quality control artifacts into comprehensive summary reports while maintaining project manifests.
Analyzes the intersection of aging populations and sovereign debt to quantify fiscal vulnerability and potential currency dilution paths.
Analyzes copper inventory rebuild speeds and historical price percentiles to identify market peaks and long-term valuation opportunities.
Analyzes cross-metal correlations between Palladium and Silver to confirm trend turning points and identify failed price moves.
Analyzes asset volatility using normalized ATR% to identify high-risk 'squeeze' regimes and provide actionable risk management adjustments.
Calculates gross margin proxies for gold and silver miners to evaluate industry profitability and historical valuation cycles.
Distills experiment reports and logs into actionable project skills and troubleshooting documentation.
Implements rigorous evaluation strategies for LLM applications using automated metrics, human-in-the-loop feedback, and systematic benchmarking.
Diagnose and mitigate performance loss in agentic systems caused by large, conflicting, or poisoned context windows.
Streamlines the execution, management, and analysis of machine learning experiments using a lightweight, Git-aware Python framework.
Master the core principles and mechanics of context management to build more efficient and accurate AI agent architectures.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM applications with proprietary data and external knowledge.
Generates and optimizes ServiceX queries in func_adl for analyzing ATLAS xAOD high-energy physics data.
Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.
Analyzes macroeconomic trends by mapping earnings growth and financial conditions onto a four-quadrant investment clock model.
Quantifies global copper supply concentration and structural risks using automated data scraping and Bloomberg-style visualizations.
Orchestrates complex multi-agent systems on AWS using the Bedrock AgentCore Agent-to-Agent (A2A) protocol.
Builds macro-economic models using leading and coincident indicators to automate Risk-On/Risk-Off switching strategies.
Quantifies hedge fund capital flows in agricultural commodity markets using CFTC COT data and macro sentiment indicators.
Creates, edits, and analyzes sophisticated Excel spreadsheets with advanced formula support and industry-standard financial formatting.
Implements Retrieval-Augmented Generation (RAG) systems with vector databases and semantic search to build grounded, knowledge-aware AI applications.
Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and modular prompt templates.
Enables professional spreadsheet creation, data analysis, and financial modeling with rigorous formula verification and industry-standard formatting.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling conventions.
Forecasts relative performance between growth and defensive sectors using US Treasury yield curves as a leading indicator.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.
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